An important goal of pervasive computing is to integrate computer devices into the users’ everyday life seamlessly. This allows context-aware applications to gather information about the users to support them in their daily tasks. A newly attractive source of information for pervasive computing is provided by mobile and wearable devices able to detect the emotional state of the users. In many real-world scenarios, it is essential to use wearable sensors, embedded in mobile devices such as smartphones and smartwatches, to measure the emotional state of the user. This would help to understand how emotions influence processes such as decision making and reasoning. However, emotion recognition remains to be a complex and challenging task mainly regarding the following aspects: sensing modalities, data analysis, and its application in real life.
· Sensing Modalities – what to sense and what kind of sensors can be used? Physical sensors in mobile devices or biosensors in wearable devices are currently available.
· Data analysis – different approaches to emotion recognition are based on different types of collected data. Which one to use?
· Application – How to effectively use the emotion information in pervasive computing and context-aware applications?
While there have been, many contributions targeting some of these challenges, there are still unsolved problems. The proposed workshop will explore the challenges of the sensing, modeling, and recognizing of emotions by using embedded sensors in smartphones and wearable devices for pervasive computing. We aim to have unique contributions addressing these challenges and to provide a discussion space to facilitate collaboration among researchers interested in emotion recognition for pervasive computing.

*The workshop will be affiliated to IEEE PerCom 2018, to be held Athens, Greece.
*Each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only).
*Workshop papers will be included and indexed in the IEEE digital libraries (Xplore)
## For more information, please visit:
http://www.comtec.eecs.uni-kassel.de/emotionaware/